|
Environmental Impact Assessment Case study:
Delimara Thermal Power Station, Malta
Data analysis:
AQ/QC to ensure completeness, consistency, and plausibility of the input data.
Meteorology illustrates the variability in the main driving forces between years and data sets.
| Zetjun |
parameter |
number of observations |
average |
maximum |
| 2008 |
2009 |
2010 |
2008 |
2009 |
2010 |
2008 |
2009 |
2010 |
| observed | temperature |
7,577 | 3,624 | - |
19.7 | 15.2 | - |
36.4 | 30.5 | - |
| MM5/FNL | temperature |
8,784 | 8,760 | 8,760 |
19.3 | 19.1 | 19.2 |
31.0 | 34.3 | 32.1 |
| AERMET | temperature |
8,783 | 8,760 | 8,760 |
19.7 | 19.1 | 19.2 |
28.0 | 37.0 | 34.0 |
| observed | wind speed |
7,577 | 3,624 | - |
3.6 | 4.0 | - |
15.8 | 16.7 | - |
| MM5/FNL | wind speed |
8,784 | 8,760 | 8,760 |
4.9 | 5.3 | 5.2 |
19.0 | 18.7 | 19.5 |
| AERMET | wind speed |
8,783 | 8,760 | 8,760 |
5.4 | 5.1 | 5.2 |
20.5 | 18.8 | 18.7 |
The meteorological data used are based on modeled (re-analysis using NCEP FNL global data sets)
meteorology, as the ststion data are of insufficient coverage and completeness
(e.g., Zejtun 2008 has only about 90% of valid (hourly) data for the avaiolable observation
period from January 2008 to end of May 2009).
The model generated time series used to drive AERMDO annual EIA runs directly
or throug AERMET files generated from these simulated (and thus complete, consistent) data.
The performance of the MM5 based re-analysis is caompared with the observation data at Zejtun
(MM5 model validation) beyond the comparison
of the basic statistics for temperature and wind speed summarized above.
|